Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Performance of machine learning algorithms. by Wenxue Liu (6877754)

The accuracy of all employed learning algorithms. by Quan Shao (20148209)

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

“…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …”

List of the time used by each algorithm. by JiaMing Gong (20427837)

“…Finally, to solve the issue of concept drift, EDAC designs and implements an ensemble classifier that uses a self-feedback strategy to determine the initial weight of the classifier by adjusting the weight of the sub-classifier according to the performance on the arrived data chunks. …”

Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …”

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

Subjects:

Data used in "Material Classification System using Inductive Tactile Sensors and Machine Learning Algorithms" by Yuning Jiang (19758561)

“…<p dir="ltr">This study presents an innovative material classification system involving an inductive tactile sensor and machine learning algorithms. A simple-structured sensor based on the principle of electromagnetic induction was developed to capture varying inductance signals induced by different materials with distinct magnetic properties, facilitating material detection and distinction. …”

Federated averaging algorithm. by Yan Qin (118276)

Supporting data for "Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution" by Xianqi Jiang (9391832)

“…To this end, this study, ''Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution'', focuses on using AI-based deep learning algorithms for accurate nowcasting of cloud evolution. …”

Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms by Connor Lee (22327243)

Subjects:

Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms by Kelechi Amamba (21022064)

“…<p dir="ltr">Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms</p><p dir="ltr">This study describes an empirical evaluation of 24 machine learning models, including Logistic Regression, Decision Trees, Random Forests, Support Vector Machines and Neural Networks using a highly imbalanced fraud dataset that reflects the real-world where the data was culled from. …”

Decision tree algorithms. by Mahbub E. Sobhani (22278967)

“…Ensemble learning in supervised machine learning is also a common technique for handling imbalanced data. …”

Comparison of federated learning algorithms. by Duy-Dong Le (22057362)

Algorithm framework. by Zongjin Li (38031)

Subjects:

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

A new approach in soil organic carbon estimation using machine learning algorithms: a study in a tropical forest in Vietnam by Thuy Phuong Nguyen (11769999)

“…This study aimed to evaluate the ability of SOC estimation using a multiple linear regression model (MLR) and four machine learning algorithms: artificial neural networks (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost) with satellite data sources and soil nutrient indicator data to find the optimal method. …”

Feature selection using Boruta algorithm. by Shayla Naznin (13014015)

“…</p><p>Methods</p><p>Multiple machine learning (ML) algorithms were applied to data from the 2022 Bangladesh Demographic Health Survey, including Random Forest, Decision Tree, K-Nearest Neighbors, Logistic Regression, Support Vector Machine, XGBoost, LightGBM and Neural Networks. …”